2017
DOI: 10.1016/j.jhydrol.2016.11.024
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Monitoring recent lake level variations on the Tibetan Plateau using CryoSat-2 SARIn mode data

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Cited by 144 publications
(103 citation statements)
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“…Satellite radar altimetry is a successful technique that is widely used to monitor lake level variations [25][26][27]31,32]. In this paper, four satellite altimetry products were used to monitor the fluctuations of Lake Chad.…”
Section: Satellite Altimetry Products For Water Levelmentioning
confidence: 99%
“…Satellite radar altimetry is a successful technique that is widely used to monitor lake level variations [25][26][27]31,32]. In this paper, four satellite altimetry products were used to monitor the fluctuations of Lake Chad.…”
Section: Satellite Altimetry Products For Water Levelmentioning
confidence: 99%
“…To assess lake water level and ice surface changes between 1997 and 2016, we used ICESat GLA12 Release 34 data [ Zwally et al , ], with a crossover standard deviation of 0.2 m [ Howat et al , ; Pritchard et al , ] and NASA's ATM and Land, Vegetation and Ice Sensor (LVIS) flight lines [ Blair and Hofton , ; Krabill , ], both of which have an uncertainty of 0.1 m. Moreover, we obtained lake level elevations from CryoSat‐2, based on the ESA baseline C level 1b product, using the methodology outlined by Jiang et al []. Observations were also extracted from AeroDEM (August 1985) [ Korsgaard et al , ] and ArcticDEM (April 2013 and August 2015; http://pgc.umn.edu/arcticdem) [ Noh and Howat , ], and we used Landsat, Sentinel‐2, Advanced Spaceborne Thermal Emission and Reflection (ASTER), and Moderate Resolution Imaging Spectroradiometer (MODIS) archive satellite imagery (http://earthexplorer.usgs.gov), to provide a qualitative assessment of lake changes, for instance, to determine whether the lake had drained or not.…”
Section: Methodsmentioning
confidence: 99%
“…This was successful except for some lakes, which probably exhibit water level changes with different cycles, and thus cannot be captured by this harmonic model. Jiang et al [21] Other studies focused on specific individual lakes. Song et al [51] investigated the variation of Namco based on multiple data sources including Cryosat-2 using an iterative reweighted linear model.…”
Section: Lake Level Trend Estimationmentioning
confidence: 99%
“…Many studies have investigated the driving factors of significant lake level changes in order to understand and explain the mechanisms behind the change. However, lake rise on the Tibetan Plateau seems to be driven by many factors and their interactions [17,21,[53][54][55][56], and a simple, process-based model remains elusive. In this context, CryoSat-2 can play an important role to further our understanding of lake response to climate change due to its dense spatial coverage.…”
Section: Lake Level Trend Estimationmentioning
confidence: 99%
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